helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
How can content recommendation and user experience on social media platforms be optimized through cultural analysis?Direction: Recommendation, Personalization, and Exploration
Recommendation Algorithms, Ranking, and Social Recommendation
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92 items
lightbulbPractical problemRecommendation Algorithms, Ranking, and Social Recommendation
Social media recommended content often lacks sensitivity to needs of users from different cultural backgrounds.helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
Does the multi-armed bandit (MAB) algorithm assumption of stable user preferences hold?helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
How do user preferences change dynamically during the recommendation process?helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
How do traditional MAB algorithms perform in scenarios with dynamic user preferences?lightbulbPractical problemRecommendation Algorithms, Ranking, and Social Recommendation
Recommendation systems fail to adapt correctly to dynamic changes in user preferences, reducing user satisfaction.helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
How can factorization machine (FM) models enable personalized game difficulty prediction?helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
In personalized game difficulty prediction, how is FM more efficient than other methods (e.g., random forests)?helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
Which latent variables in FM models can explain player skill and level randomness?lightbulbPractical problemRecommendation Algorithms, Ranking, and Social Recommendation
Player diversity makes precise game difficulty prediction difficult, affecting game experience.helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
How can polymorphic lenses enable personalized search and recommendation across entity types in knowledge graphs?helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
Can polymorphic lenses effectively simplify user navigation in complex domain knowledge graphs and improve exploration efficiency?helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
How does polymorphic lens design on the Semantic Scholar platform affect UX and search efficiency?lightbulbPractical problemRecommendation Algorithms, Ranking, and Social Recommendation
Users have low efficiency and high cognitive burden when navigating complex information in knowledge graphs.helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
How can privacy protection in recommendation systems be enhanced in decentralized environments while improving user satisfaction?UbiComp '22PEPPER: Empowering User-Centric Recommender Systems over Gossip Learning
helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
Under the Gossip Learning framework, how can model aggregation be optimized to improve personalized performance and training efficiency?UbiComp '22PEPPER: Empowering User-Centric Recommender Systems over Gossip Learning
helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
How can users' neighbor nodes be dynamically maintained based on interest similarity to improve recommendation effectiveness?UbiComp '22PEPPER: Empowering User-Centric Recommender Systems over Gossip Learning
lightbulbPractical problemRecommendation Algorithms, Ranking, and Social Recommendation
Users worry that recommendation systems leak privacy, and recommendations perform poorly under data sparsity.UbiComp '22PEPPER: Empowering User-Centric Recommender Systems over Gossip Learning
helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
How can mindsets capture users' short-term intentions in mobile point-of-interest recommendation?helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
Can mindset-based recommender systems effectively reduce users' cognitive load during exploration and improve satisfaction?helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
How can multi-objective optimization algorithms support dynamically adjusting recommendations based on users' current intentions?lightbulbPractical problemRecommendation Algorithms, Ranking, and Social Recommendation
Users struggle to quickly obtain recommendations matching psychological intentions during travel and urban exploration.helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
When recommendation systems display sensitive content (e.g., related to deceased persons or breakups), what complex emotional reactions do users experience?helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
How can the concept of bittersweet content be defined and extended to more accurately reflect users' emotional engagement with digital memories?helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
How can recommendation system design better adapt to users' dynamic emotional needs and support construction of emotional meaning?lightbulbPractical problemRecommendation Algorithms, Ranking, and Social Recommendation
Users often experience emotional discomfort or psychological burden when encountering sensitive recommended content.helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
How do surprise-oriented recommendation systems affect users' food choices?helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
In recipe selection, how do users respond to familiarity versus unexpectedness?helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
Can surprise models effectively increase users' dietary diversity?lightbulbPractical problemRecommendation Algorithms, Ranking, and Social Recommendation
Recommendation systems always suggest familiar options, limiting users' willingness to try new foods.helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
How can visual features be integrated into knowledge graphs to improve recommender system performance?helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
How can joint modeling of visual and semantic information better capture user preferences?helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
How do knowledge graphs incorporating visual factors improve recommendation in data-sparse scenarios?lightbulbPractical problemRecommendation Algorithms, Ranking, and Social Recommendation
In domains where visual factors matter, recommender systems struggle to capture users' visual preferences.helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
How can a recommender system help users balance ethical values, budget constraints, and practical needs in food choices?helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
Can knowledge-driven recommender systems effectively support key consumers (those with explicit ethical goals) in practicing their ethical values?helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
How can recommender systems support sustainable consumption through data interaction and customization optimization?lightbulbPractical problemRecommendation Algorithms, Ranking, and Social Recommendation
Consumers struggle to satisfy both ethical goals and practical needs in food choices.helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
How do different humor styles affect people's behavior sharing others' photos (e.g., memes) on social media?helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
How effective are personalized privacy protection interventions across users with different humor styles?lightbulbPractical problemRecommendation Algorithms, Ranking, and Social Recommendation
Social media users frequently share others' private photos without consent.helpResearch questionRecommendation Algorithms, Ranking, and Social Recommendation
After safety and security-critical incidents, what information do vehicle owners most need?Related papers
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